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That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.
However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.
The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.
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The Lalabet case, which reached a milestone in June, saw a Dutch court rule largely in favour of the lottery operator.
It found Lalabet’s operators and directors had acted unlawfully by targeting Dutch players and ordered them to cease activities and provide detailed ownership and shareholder information.
The court also explored potential liabilities for trust administrators and local representatives who facilitate illegal gambling sites.
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The research, published by The Intercept Brasil on Monday, analysed more than 55,000 Instagram accounts and cross-referenced the results with the official list of authorised operators from the Secretariat of Prizes and Bets (SPA).
According to the survey, the problem arises when a user follows a single account related to betting. The platform’s recommendation system then starts showing other profiles in the same segment, including betting sites, influencers and specialised pages.
Among the 100 most recommended profiles are accounts that, together, have accumulated more than 6 million followers and 114,000 posts. There are three main types of profiles recommended by Instagram: operators, content creators and media specialising in the betting market.